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Intro

Schedule

Date Session Title Description
Day 1 Lecture 1 Intro and Setup Why Python, Setup, etc
Day 1 Lecture 2 Basic Python Syntax, data structures, control flow, etc
Day 2 Lecture 3 Numpy + Pandas I Numpy basics, series + dataframe basics
Day 2 Lecture 4 Pandas II Joining, advanced indexing, reshaping, etc
Day 3 Lecture 5 Pandas III Grouping, apply, transform, etc
Day 3 Lecture 6 Plotting Intro to plotting in Python
Day 3 Lecture 7 Regression Intro Intro to regressions with Statsmodels

Getting started

Clone this repo

First, you're going to want to get a copy of this repository onto your machine. Simply fire up git and clone it:

  1. Open up a shell (e.g. cmd.exe or terminal.app).
  2. Navigate to where you'd like to save this. We recommend ~/repos/ (e.g. C:/Users/<user>/repos/ on Windows, /Users/<user>/repos/ on Mac, or /home/<user>/repos/ on Unix).

  3. Clone this repo:

    git clone https://github.com/ihmeuw/ihme-python-course.git

Saving local changes

You probably want to take notes, etc in your notebooks, so it's best to either fork this repo or just make a local branch to work off of:

  1. Use git checkout to make a new branch

    git checkout -b my_branch_name

  2. Save any changes using git add and then git commit

    git add .
git commit -m "describe your change"

  3. To get updates from the master branch, first fetch them:

    git fetch

  4. Then apply the changes from master to your personal branch:

    git merge origin/master

Installing Anaconda

The easy way

Go to the Anaconda download page and download the installer for Python 3.5 (64-bit) and simply click through to follow the instructions

The fancy way

If you'd like to setup a Docker container with Anaconda check out the Docker setup instructions. But be warned that it doesn't play terribly nicely with Windows 7 or 8...

Additional modules

  • seaborn

    conda install -c conda-forge seaborn

  • ggplot

    conda install -c bokeh ggplot

  • bokeh

    conda install -c bokeh bokeh

  • statsmodels

    conda install -c conda-forge statsmodels

Viewing slideshows

The lectures are all Jupyter notebooks built with the [RISE](https://github.com/damianavila/RISE) live notebook presentation plugin. If you install RISE, you can view them as interactive slideshows (instead of just notebooks). See the RISE page for more info, or simply:

conda install -c damianavila82 rise

Acknowledgments

Significant portions of this course were adapted from the following sources, all of which are licensed under Creative Commons:

License

This work is licensed under a Creative Commons Attribution 3.0 United States License.